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46 Results
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Oral
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Thu 8:05 |
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan |
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Spotlight
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Thu 12:35 |
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations Mohammad Mahmudul Alam · Edward Raff · Tim Oates · James Holt |
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Spotlight
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Wed 7:55 |
Optimizing Tensor Network Contraction Using Reinforcement Learning Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik |
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Poster
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Wed 15:30 |
Optimizing Tensor Network Contraction Using Reinforcement Learning Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik |
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Spotlight
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Thu 13:35 |
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training Jan Kaiser · Oliver Stein · Annika Eichler |
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Poster
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Thu 15:00 |
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training Jan Kaiser · Oliver Stein · Annika Eichler |
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Poster
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Tue 15:30 |
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel |
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Oral
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Tue 11:00 |
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl · Kim A. Nicoli · Shinichi Nakajima · Pan Kessel |
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Spotlight
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Thu 7:30 |
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation Steffen Schotthöfer · Tianbai Xiao · Martin Frank · Cory Hauck |
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Poster
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Thu 15:00 |
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation Steffen Schotthöfer · Tianbai Xiao · Martin Frank · Cory Hauck |
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Poster
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Tue 15:30 |
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer · Yuan Yin · Jérémie DONA · Nicolas Baskiotis · alain rakotomamonjy · Patrick Gallinari |
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Spotlight
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Tue 11:20 |
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer · Yuan Yin · Jérémie DONA · Nicolas Baskiotis · alain rakotomamonjy · Patrick Gallinari |